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Data Engineer

Captar PartnersHong Kong

21 天前

职位描述

Our client is a cutting-edge retail innovation company, they provide cutting-edge data solutions, cloud infrastructure, and AI-powered analytics to optimize operations and enhance customer experiences.

Key Responsibilities :

Design, implement, and maintain scalable ETL pipelines using Azure Data Factory, Azure Synapse Analytics, and Data Flow.
Develop and optimize data models, tables, and views for data processing and storage.
Perform data migration from various sources (SQL Server, MySQL, MongoDB, etc.) to Azure cloud platforms.
Automate data processes and workflows using Python, SQL, and PowerShell.
Ensure data security, governance, and compliance with industry best practices.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Monitor and enhance data pipelines for high availability and performance.

Required Skills & Experience :

3+ years of experience as a Data Engineer working with Azure-based solutions.

Strong proficiency in Azure Data Factory, Synapse, Data Flow, and Power BI.

Experience with ETL development, data modeling, and SQL-based data transformation.

Skilled in Python, SQL, and PowerShell for automation and data processing.

Experience in data migration and working with cloud-based data warehouses.

Knowledge of big data technologies such as Apache Spark, PySpark, and Airflow is a plus.

Excellent problem-solving and communication skills.

We apologies that only shortlisted candidates will be contacted.

For more details, please feel free to ping me for a chat or send me an email at hfong@captarpartners.com📩Please let me know if you have any referrals or if you are interested in the role.

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Engineer • Hong Kong